Comments (1)
Yes, you can run multiple instances of Kine against a datastore. This is how K3s works when you point multiple servers at a shared database. Each server runs an instance of Kine against the target database, and each server runs an apiserver that talks to the local kine instance.
It should also work fine to point multiple apiservers at a single kine instance, or multiple apiservers at a pool of kine instances. This is not a model that we use, so it probably sees less testing. If you can reproduce any problems, please open an issue describing specifically what you're seeing, with steps to reproduce.
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Related Issues (20)
- feat: IAM database authentication HOT 4
- amd64 publish steps fail due to missing dependencies
- Any plan to support `ProgressNotify` feature? HOT 11
- gRPC health probe on Kine deployment does not work HOT 4
- Kine responds with the resourceVersion corresponding to the maxRowId globally, rather than the one associated with the specified prefix. HOT 10
- k3s mysql数据库存储kine表 HOT 5
- Latest version release don't include build artifacts. HOT 2
- Opentelemetry instrumentation for sql drivers including postgresql HOT 2
- mysql: check db and table exist before creating
- Kine does not handle `WatchRequest_ProgressRequest` message
- Add metrics for received etcd calls HOT 16
- Document options for etcd client authentication in tcp listener HOT 2
- Kubeadm + Kine + NATS possible bug: illegal resource version from storage: 0 HOT 5
- Add support for SurrealDB
- kine periodic query causes MySQL CPU 100% load HOT 1
- [Question] Does Having A Caching Layer Make Sense? HOT 1
- "TTL event watch failed to get start revision" HOT 3
- [Question] is kine able to support data sharding in mysql? HOT 1
- Add support for RISC-V 64
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